Introduction



MLTP is the premiere level of competitive Tagpro in North America. Tagpro is a capture the flag game played between two teams of four players; each team typically has two offenders and two defenders in the competitive meta. This data visualization project will showcase some of the primary metrics used to evaluate players and how the stats have changed across modern competitive seasons.

The main statistics used to judge the individual performance of an offender are captures, grabs, scoring percentage, and hold. Captures is the number of times an offender scored, grabs is the number of times an offender picked up the flag, scoring percentage is simply (captures/grabs)*100, the percentage of grabs that result in a capture, and hold is the duration of time an offender has the flag in their possession.

Defenders are mainly judged individually on prevent, tags, and kill/death ratio. Prevent is the duration of time the defender protected the flag from being grabbed, tags are the number of times a player kills a player on the other team, and kill/death ratio is (unsurprisingly) the number of tags divided by the number of deaths.

Finally, team success is typically measured in either win/loss/tie record or by score differential. I will use score differential for the purposes of this report, as a quantitative measure of success is more useful here than a qualitative one.



Results



First, we examine several scatterplots.



















## R version 3.6.1 (2019-07-05)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 17763)
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## Matrix products: default
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## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
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##  [4] lattice_0.20-38    assertthat_0.2.1   zeallot_0.1.0     
##  [7] digest_0.6.21      mime_0.7           R6_2.4.0          
## [10] cellranger_1.1.0   backports_1.1.4    evaluate_0.14     
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## [46] promises_1.0.1     xml2_1.2.2         generics_0.0.2    
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